121 - 130 out of 168Page size: 10
Sort by: Title

  1. The effect of 5-HTTLPR on EEG reactions among Yakuts and Russians during the recognition of emotionally colored verbal stimuli

    Ayusheeva, T., Tamozhnikov, S., Karpova, A., Saprygin, A., Borisova, N. & Savostyanov, A., 26 Nov 2018, 11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 124-126 3 p. 8544755. (11th International Conference Bioinformatics of Genome Regulation and Structure\Systems Biology, BGRS\SB 2018 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  2. The Effect of Meditation on Comprehension of Statements About One-Self and Others: A Pilot ERP and Behavioral Study

    Savostyanov, A., Tamozhnikov, S., Bocharov, A., Saprygin, A., Matushkin, Y., Lashin, S., Kolpakova, G., Sudobin, K. & Knyazev, G., 9 Jan 2020, In: Frontiers in Human Neuroscience. 13, 12 p., 437.

    Research output: Contribution to journal › Article › peer-review

  3. The influence of genetics polymorphisms of serotonin transporter on the EEG and fMRI correlates of trait anxiety in Stop-Signal paradigm in the Siberian Mongoloids and Caucasians

    Savostyanov, A. N., Bazovkina, D. V., Bocharov, A. V., Tamozhnikov, S. S., Petrovski, E. D., Savelov, A. A., Knyazev, G. G., Borisova, N., Karpova, A. & Aftanas, L. I., Oct 2016, In: International Journal of Psychophysiology. 108, p. 81-81 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  4. The reduction theorem for relatively maximal subgroups

    Guo, W., Revin, D. O. & Vdovin, E. P., 1 Apr 2022, In: Bulletin of Mathematical Sciences. 12, 1, 2150001.

    Research output: Contribution to journal › Article › peer-review

  5. The Wielandt–Hartley theorem for submaximal X -subgroups

    Revin, D., Skresanov, S. & Vasil’ev, A., 1 Sept 2020, In: Monatshefte fur Mathematik. 193, 1, p. 143-155 13 p.

    Research output: Contribution to journal › Article › peer-review

  6. Use of Computer Methods for Analyzing Brain Signals to Assess the Success of Adaptation of Labor Migrants to Extreme Climate Conditions

    Milakhina, N., Karpova, A., Astakhova, T. & Savostyanov, A., 30 Jun 2021, 2021 IEEE 22nd International Conference of Young Professionals in Electron Devices and Materials, EDM 2021 - Proceedings. IEEE Computer Society, p. 577-581 5 p. 9507608. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM; vol. 2021-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Use of Machine Learning Methods to Analyze Patterns of Brain Activity during Assessment of the Self and Others

    Knyazev, G. G., Savostyanov, A. N., Rudych, P. D. & Bocharov, A. V., Sept 2023, In: Neuroscience and Behavioral Physiology. 53, 7, p. 1210-1218 9 p.

    Research output: Contribution to journal › Article › peer-review

  8. Using Few-Shot Learning Techniques for Named Entity Recognition and Relation Extraction

    Bondarenko, I., Berezin, S., Pauls, A., Batura, T., Rubtsova, Y. & Tuchinov, B., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Novosibirsk, Russia: Institute of Electrical and Electronics Engineers Inc., p. 58-65 8 p. 9303192. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 29 Jun 2023, p. 1740-1745. 6 p.

    Research output: Contribution to conference › Paper › peer-review

  10. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 2023, 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers Inc., p. 1740-1745 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Previous 1...9 10 11 12 13 14 15 16 17 Next

ID: 3085523